Vacant job

We are now looking for a Junior Data Engineer for a consulting assignment with our client in a socially vital sector. The assignment is part of a larger initiative to modernize data platforms for analytics, statistical production, machine learning, and automation.

About the role

As a consultant, you will have the opportunity to develop in a modern data and analytics environment where you work alongside experienced Data Engineers, developers, and business experts. You will contribute to the development and maintenance of data platforms, data flows, and analytics solutions with a focus on Python, data lakes, container technology, and open platform components.

Responsibilities

• Participate in the development and maintenance of data pipelines for data collection, storage, and processing
• Work with Python-based development in data management and analytics
• Contribute to the development of data platforms based on data lakes and modern platform architectures
• Work with code version control in Git-based environments
• Participate in the development and use of containerized applications
• Collaborate with Data Engineers, developers, and business representatives in cross-functional teams
• Contribute to quality assurance, documentation, and continuous improvement of data-related solutions
• Work in modern environments based on open-source components for data management and analytics

We are looking for someone who has

• Experience in Python development
• Experience with version control using Git or similar tools
• Experience in data analysis and data processing in business-oriented or technical contexts
• Experience working in cross-functional teams with, for example, Data Engineers, developers, and business representatives
• Experience working with or contributing to the development of data platforms based on data lakes or similar architecture, under supervision
• Experience in developing, maintaining, or contributing to the maintenance of data pipelines
• Basic experience with containerized applications, such as Docker, and knowledge of Kubernetes-based environments
• Experience working in environments based on open-source components for data platforms and analytics

It is an advantage if you have experience with

• Work in the public sector
• The Onyxia platform
• Agile working methods such as Scrum, Kanban, or DevOps
• Data platforms and analytics environments focused on automation and reusability
• Collaboration in larger development or data organizations

Our recruitment process

This recruitment process is handled by Academic Work, and our client's request is that all questions regarding the position are sent to Academic Work.

We apply rolling selection and will remove the advertisement when a sufficient number of candidates have reached the final stage of the recruitment process. A CV is required when applying. We do not use cover letters as a selection method, so they do not need to be attached. The recruitment process includes two selection tests: a personality test and a cognitive ability test. The tests are a tool to help find the candidate with the highest potential for the role and to promote equality, diversity, and a fair recruitment process.